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Bretton AI

Solutions Engineer

United States

Location
United States
Work
Remote
Employment
Full-time
Level
Not stated
Function
Sales
Pay
$130K – $170K a year
Posted
14 months ago

Pay and the market here

The top of this role’s range, $170K a year, is about the median of $170K for sales jobs in United States (middle half $105K – $235K, 10,357 jobs that state pay).

14,373 sales jobs open in United States: 35% remote, 4,591 posted in the last 30 days.

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About the role

About Bretton AI

Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.

We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.

The Role

As a Solutions Engineer, you will be the technical bridge between our Account Executives and our prospective customers, playing a critical role in how they understand, adopt, and succeed with our AI agents. This is a highly cross-functional role where you will combine your technical credibility with your sales acumen to demonstrate value, build trust, and accelerate deals.

You will be the technical voice of the customer, translating their needs into solutions and providing invaluable feedback to our product and engineering teams. You will get to show prospects how cutting-edge AI can transform their compliance operations, presenting to both CTOs and Chief Compliance Officers.

What You’ll Do

  • Partner with Account Executives to scope and deliver compelling, customized demos that are tailored to the specific business needs of our prospects.
  • Develop proof-of-concepts and prototypes that showcase how our AI agents can solve our customers’ most pressing problems.
  • Present our technical solutions to both business and technical stakeholders in a clear and persuasive manner.
  • Confidently handle technical objections, including questions about integration, compliance, and performance.
  • Collaborate with our Product and Engineering teams to provide feedback from the field and influence our product roadmap.
  • Contribute to our sales enablement materials, demo environments, and best practices to help scale the impact of our solutions engineering team.

What We’re Looking For

Must-Haves

  • A strong technical background in software engineering, solution architecture, or technical consulting.
  • Excellent communication and presentation skills, with the ability to translate complex AI concepts into tangible business value.
  • Comfortable building quick prototypes and debugging code in real-time.
  • A consultative, customer-first mindset with a passion for creative problem-solving.

Bonus Points

  • Experience in fintech, compliance, or with AI products.
  • A background in a customer-facing technical role.

Why You’ll Love Working Here

  • Bridge the Gap: You love being the technical expert in the room and enjoy the customer-facing side of technology.
  • High-Impact Role: You will blend deep technical knowledge with business strategy to help close deals and drive revenue.
  • Shape the Product: You will be the voice of the customer, providing critical feedback that influences our product roadmap.
  • Solve a Critical Problem: You will be at the forefront of helping financial institutions use AI to fight financial crime.

Compensation & Benefits

  • Competitive salary + equity + commission
  • Comprehensive healthcare, 401k matching, commuter benefits
  • 15 days PTO + holidays, unlimited sick days
  • Flexible leave options
  • Working late? We’ve got you covered with DoorDash and an Uber home

Join us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

Source

Posted by Bretton AI on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 12:09 UTC; the original is the reference.

View the original ad ↗

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